444Radio AI Model Stack
We build and run our own native AI models from scratch. Custom transformers, diffusion networks, and video synthesis engines trained on proprietary datasets. Not a wrapper. Not an API call. Our own architecture, our own training, our own GPU infrastructure.
444Radio Model Stack
444Music
Music Generation
MP3, 44.1kHz stereo
~30–60 seconds
Custom transformer architecture trained on proprietary datasets spanning Indian classical, Bollywood, global pop, hip hop, electronic, and 30+ genres. Generates complete songs with vocals, instruments, and arrangement from text prompts.
444Input
Pattern-Based Music Editor
Audio export + saved patterns
Instant playback
Native pattern engine for code-based music creation. Write rhythmic patterns, drum sequences, melodies, and arrangements using text patterns — then hear results instantly. Includes built-in drum machine banks, wavetable synths, and live editor with 30+ themes.
444Art
Cover Art Generation
PNG, high resolution
~15 seconds
Native diffusion model fine-tuned for album artwork, single covers, and promotional images. Understands music genre aesthetics and produces stylistically coherent artwork.
444Vision
Music Video Synthesis
MP4, 720p
~2–5 minutes
Native video synthesis model that generates cinematic scenes synchronized to audio input. Creates 720p visual narratives matching the mood and tempo of the music.
444Split
Stem Separation
Individual WAV stems
~30 seconds
Native audio source separation model that isolates vocals, drums, bass, and other instruments from mixed audio files with high fidelity.
444Boost
Audio Mastering
WAV / MP3
~20 seconds
Native neural audio processor for loudness optimization, EQ balancing, stereo enhancement, and final mastering polish.
Architecture
Training
All models are trained on proprietary datasets curated by 444Radio. Music models are trained on licensed and public-domain audio spanning Indian classical, Bollywood, global pop, electronic, hip hop, jazz, and 30+ genres. Cover art models are trained on album artwork paired with genre tags. Video models are trained on music-video pairs with scene descriptions. Every model is trained from random initialization — no fine-tuning of existing open-source checkpoints.
Inference
Models run on 444Radio's proprietary GPU clusters optimized for real-time generation. No external inference APIs. Latency targets: songs in 30–60 seconds, cover art in 15 seconds, music videos in 2–5 minutes. All inference happens on infrastructure we own and operate.
Open Source Roadmap
444Radio models will be open-sourced post community build. The goal is to let creators own the entire stack — from training data to inference weights. Community contributions will drive genre expansion, language support, and model improvements.
What We Do Not Use
For transparency: 444Radio does not rely on any third-party AI models, voice APIs, or inference infrastructure. Every generation runs exclusively on our own native models and our own GPU clusters.
Experience Native AI Music
Try 444Radio with 20 free credits. No credit card. No subscription. Just native AI music generation.